物联网系统大数据处理的人工智能算法与装置

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引用次数: 0

摘要

随着物联网的快速发展,物联网系统中产生的大数据越来越多,需要对其进行有效的处理和分析。传统的数据处理方法已不能满足物联网系统中大数据的处理需求,因此有必要研究物联网系统中新的大数据处理技术。本文提出了一种大数据算法,利用大数据中的数据挖掘技术对传感器和设备数据进行处理。在数据预处理阶段,算法和设备采用数据清洗等技术,保证数据质量和可靠性。在特征提取和选择阶段,算法和设备采用自适应特征提取和选择技术提取数据的关键特征,降低数据的维数和复杂度。在实验中,本文对算法进行了测试和评估,验证了算法的性能。实验结果表明,本研究建立的模型F1值为0.87,训练时间最短,仅为9秒。该算法和装置可以有效地提高数据处理和分析的效率,提高数据处理的准确性和可靠性。与传统的数据处理方法相比,该算法和设备具有更好的性能和应用前景。该算法和设备具有良好的鲁棒性和可扩展性,能够适应不同的数据处理和分析需求。基于大数据挖掘技术的算法是一种有效的物联网系统大数据处理技术,可以提高数据处理和分析的效率,提高数据处理的准确性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence Algorithm and Device for Big Data Processing of the IoT System
With the rapid development of the Internet of Things (IoT), there are more and more big data generated in the IoT system, which requires effective processing and analysis. Traditional data processing methods cannot meet the processing needs of big data in the IoT system, so it is necessary to study new big data processing technologies in the IoT system. This paper has proposed a big data algorithm, which uses data mining technology in big data to process sensor and device data. In the data pre-processing stage, the algorithm and device use data cleansing and other technologies to ensure data quality and reliability. In the feature extraction and selection stage, the algorithm and device adopt adaptive feature extraction and selection techniques to extract key features of the data and reduce the dimensionality and complexity of the data. In the experiment, this article tested and evaluated the algorithm to verify its performance. The experimental results showed that the F1 value of the model established in this study was 0.87, and the training time was the shortest, only 9 seconds. This algorithm and device can effectively improve the efficiency of data processing and analysis, as well as improve the accuracy and reliability of data processing. Compared with traditional data processing methods, this algorithm and device have better performance and application prospects. The algorithm and device also have good robustness and scalability, and can adapt to different data processing and analysis needs. The algorithm based on big data mining technology is an effective big data processing technology of the IoT system, which can improve the efficiency of data processing and analysis, and improve the accuracy and reliability of data processing.
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